Evidence map›Paper›PMID 39106762›Full record

ArticleParkinsonism & related disorders2024

Genetic influence on microstructure integrity and motor progression in Parkinson's disease.

Cherry H Yu, Federico Rodriguez-Porcel, Sandra Wilson, Daniel H Lench, Christine A Cooper

Abstract read
In one paragraph

Article in Parkinsonism & related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cherry H YuDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Federico Rodriguez-PorcelDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Sandra WilsonDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Daniel H LenchDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Christine A CooperDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA. Electronic address: cooperch@musc.edu.

Funding

NINDS NIH HHS L30 NS108318
6 · The paper itself

Abstract

backgroundUp to 10 % of Parkinson's disease (PD) populations carry a genetic risk variant, which may not only increase one's chance of developing PD but also affect disease presentation and progression. We hypothesize motor impairment in genetic carriers of PD correlate to different patterns of microstructural changes over time. DESIGN/

methodsData were accessed from the Parkinson's Progression Markers Initiative (PPMI) project. Connectometry analyses were performed for GBA1+ PD, LRRK2+ PD, and sporadic PD correlating white matter structural changes, as measured by quantitative anisotropy (QA), with motor impairment, as measured by MDS-UPDRS III.

resultsThere was a negative correlation between QA and MDS-UPDRS III in all 3 cohorts at 48 months. In GBA1+ PD (n = 12), the white matter tracts identified were cortical and subcortical, while in the LRRK2+ PD (n = 18) and sporadic PD (n = 45) cohorts white tracts identified were primarily subcortical and within the brainstem.

conclusionsOur findings highlight the association between motor symptom progrerssion and structural connectivity in individuals with GBA1+ PD, LRRK2+ PD, and sporadic PD. Due to the small sample size, larger studies are needed in the future to confirm the findings.

Indexed as

Disease ProgressionGlucosylceramidaseLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Parkinson DiseaseWhite MatterAgedCohort StudiesDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedGBA protein, humanGlucosylceramidaseLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, humanConnectometryGBA1GeneticsLRRK2Parkinson'sStructural connectivity

Identifiers

PMID39106762
PMCPMC11449667

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.